Matthew J. Hayes

1.4k citations
29 papers · 1.1k indexed · h-index 16
Topics
Retinal Development and Disorders (7 papers)Cellular transport and secretion (6 papers)S100 Proteins and Annexins (6 papers)
Journals
Journal of Biological ChemistrySHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Matthew J. Hayes

27 papers receiving 1.1k citations

Peers

Matthew J. Hayes
Comparison fields: 5 of 95
  • Molecular Biology 761
  • Neurology 281
  • Cell Biology 216
  • Immunology 121
  • Cancer Research 120
Replace David A. Tumbarello with:
David A. Tumbarello United Kingdom
Marianne F. James United States
Koichi Miki Japan
Yi Jin United States
Susan D. Arden United Kingdom
Sylvie Bannwarth France
Vasanta Subramanian United Kingdom
John James United Kingdom
Takahide Matsui Japan
Ellen J. Collarini United States
Matthew J. Hayes relative to David A. Tumbarello United Kingdom David A. Tumbarello's profile →
Citations per field
00.5×1.5×2.4×
David A. Tumbarello · 1×
Citations per year

Countries citing papers authored by Matthew J. Hayes

Since Specialization
Citations

This map shows the geographic impact of Matthew J. Hayes's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew J. Hayes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Hayes more than expected).

Fields of papers citing papers by Matthew J. Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Hayes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew J. Hayes. The network helps show where Matthew J. Hayes may publish in the future.

Co-authorship network of co-authors of Matthew J. Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Hayes. A scholar is included among the top collaborators of Matthew J. Hayes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew J. Hayes. Matthew J. Hayes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 15
3 1
4 25
5 16
6 46
7 45
8 14
9 1
10 19
11 60
12 44
13 54
14 7
15 41
16 95
17 223
18 7
19 1
20 3

About Matthew J. Hayes

Matthew J. Hayes is a scholar working on Immunology and Allergy, Aging and Cell Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (7 papers), Cellular transport and secretion (6 papers) and S100 Proteins and Annexins (6 papers). The work is most often cited by research in Neurology (281 citations), Cell Biology (216 citations) and Molecular Biology (761 citations). Matthew J. Hayes has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Stephen E. Moss, Tim P. Levine, Ursula Rescher, Volker Gerke, Alberto T. Gatta, Louise H. Wong, Maryse Bailly, Dongmin Shao, Peter Adamson and Adam G. Grieve. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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